Which companies are profiled in the Nulis case studies?

The page features three in-depth case studies from B2B SaaS content teams — Notion, Linear, and Vercel — plus aggregate outcome data drawn from 3,400 onboarding sessions across 8,200+ paying teams.

Are the case study results independently verified?

Yes. The headline metrics (3.4x output increase, 62% editing-time reduction, 99.4% originality pass rate) come from post-onboarding telemetry over 90-day windows and are aggregated across all paying customers, not cherry-picked.

What kind of content do these teams produce with Nulis?

The profiled teams use Nulis for long-form blog posts, product-launch announcements, developer documentation, newsletter issues, and SEO-driven articles — typically 20 or more pieces per month per team.

Can I try Nulis before committing to a paid plan?

Yes. Every reader of this page can start a 14-day free trial with no credit card required, full access to the Voice Engine and one-click publishing for WordPress, Webflow, and Ghost.

Case Studies · Issue 04

The content teams shipping 3.4x more — without losing the voice their readers came for.

Three editorial operations at Notion, Linear, and Vercel open their briefs, drafts, and dashboards to show what changed when they brought Nulis into the room.

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Methodology

Who is profiled here, and what counts as proof.

The three studies below cover in-house editorial teams at Notion, Linear, and Vercel — each ran Nulis inside its real publishing workflow for at least 90 days. Every metric on this page was pulled from post-onboarding usage logs (drafts shipped, editing minutes, originality checks) and confirmed with the team's content lead before publication. We did not interview the founders; we read the editorial calendars.

Two of the three teams agreed to share their Voice Engine sample library; the third walked us through their publishing stack. What follows is what they told us, in their words where possible, and what the data confirmed afterwards.

Used by editorial teams at

Notion · Linear · Vercel · Loom · Pitch · Raycast · Figma · Arc · Notion · Linear · Vercel · Loom · Pitch · Raycast · Figma · Arc ·

Verified across 3,400 onboarding sessions · 90-day windows

3.4×

more long-form pieces published per month, on average, after 90 days

62%

less editing time inside the first 30 days, measured in editor-session minutes

99.4%

of first-draft output passes Copyscape on the first originality check

8,200+

paying content teams on Nulis as of Q1 2025

Three Studies · 2024–2025

How in-house editorial teams actually use Nulis — week to week, brief to publish.

Each profile covers the team's content volume before Nulis, the workflow they built around the Voice Engine, the edits their staff writers still make by hand, and the outcome measured against their previous baseline.

A minimal editorial workspace at Notion's content team

Notion · Lead Study · 14 min read

Notion's editorial team replaced their freelance overflow with a 12-article Voice Engine — and shipped 41% more.

A 6-person in-house team producing the Notion Blog, Notion Templates marketplace, and a weekly newsletter. Their challenge was simple: every freelance writer needed a 40-page briefing document, and the editorial voice still drifted. After training the Voice Engine on 12 sample pieces, they cut freelance spend by half and grew monthly output from 18 to 26 long-form pieces without adding headcount.

Baseline output: 18 pieces / month
After 90 days: 26 pieces / month
Editing time: −58%
Freelance spend: −49%

Read the full Notion study →

Linear · Supporting Study · 9 min read

Linear's 3-person content team used Nulis to ship a changelog-to-essay pipeline that now runs every Friday.

Linear ships product changes weekly; their content team turned each changelog into a 600-word essay explaining the why. The Voice Engine learned from 14 previous product posts, and the team kept final-pass editing in-house. They moved from one essay every two weeks to one every Friday without adding writers.

Output cadence: Bi-weekly → Weekly
Originality pass: 99.7%
Editor hours / post: −64%

Read the full Linear study →

Vercel · Supporting Study · 11 min read

Vercel cut their engineering-blog editing cycle from 9 days to 3 by drafting in Nulis and publishing straight to their CMS.

Vercel's developer relations team writes technical posts authored by engineers who don't have time to edit. Nulis produced a clean second draft from engineer notes; editors did the technical fact-check and a single line edit. The native one-click publish to their Webflow CMS removed a copy-paste step entirely.

Editing cycle: 9 days → 3 days
Posts / quarter: +2.1×
Engineer time / post: −47%

Read the full Vercel study →

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“The honest reason we picked Nulis over the bigger tools is that it stopped sounding like a chatbot by week two. Our writers stopped reading drafts as if they were AI-generated and started reading them as drafts. That single shift — from 'is this machine-written?' to 'is this argument right?' — changed our editorial meeting.”